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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 97
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    Explanations

    words related to challenges or difficulty

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tough" and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATURE
    -0.82
    Fac
    -0.75
    ateur
    -0.73
    uate
    -0.71
    iliary
    -0.71
    atern
    -0.71
     Reincarn
    -0.69
    Footnote
    -0.68
    oples
    -0.66
    aneous
    -0.66
    POSITIVE LOGITS
     adolesc
    0.91
     cookie
    0.85
     tough
    0.80
     hitters
    0.79
     enough
    0.75
     stance
    0.74
     obstacles
    0.73
     hitter
    0.73
    ayson
    0.72
     beasts
    0.71
    Activations Density 0.021%

    No Known Activations